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EM算法的多重威布尔可靠性建模

, PP. 1010-1015

Keywords: 机械制造自动化,机床可靠性,多重威布尔混合模型,最大似然法,EM算法,贝叶斯随机分类,径向基函数插值,KS检验

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Abstract:

以两参数威布尔分布为多重威布尔混合模型的基函数,建立了以极大似然函数为目标的参数估计优化模型,并改进了求解优化模型的EM算法。改进EM算法中提出贝叶斯随机分类方法,用于初始化算法中的待估计参数。采用径向基函数插值法求解EM算法极大化步中的超越方程组,并通过实际算例对比分析了改进EM算法与传统算法的准确性。给出了用改进EM算法求解多重威布尔混合模型参数的具体算例,分析了多重威布尔混合模型的逼近性能。针对国内同期出厂的10台某型号冲压机床,通过现场跟踪获取其初期故障样本数据,运用多重威布尔混合模型研究可靠性数据分布规律,并研究了KS检验统计量Dmax与威布尔混合模型重数N之间的关系。应用案例表明,4重混合威布尔模型更能准确地反映冲压机床早期可靠性的实际分布规律。

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